Publication: Comparison of rice phenology from modis and ground image data in Sakaeo Province, Thailand
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Issued Date
2020
Resource Type
File Type
application/pdf
ISSN
2194315X
Other identifier(s)
2-s2.0-85075539715
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
Springer Geography. (2020), p.85-95
Suggested Citation
Srichupieam W., Soontranon N., Chavanavesskul S. Comparison of rice phenology from modis and ground image data in Sakaeo Province, Thailand. Springer Geography. (2020), p.85-95. doi:10.1007/978-3-030-33900-5_9 Retrieved from: https://hdl.handle.net/20.500.14740/4718
Author(s)
Abstract
This paper presents a study of vegetation phenology, which is used to monitor the state of rice fields. A well-known parameter, Normalized Difference Vegetation Index (NDVI) was created and based on the phenology of satellite images using Moderate Resolution Imaging Spectroradiometer (MODIS). Another parameter, Excessive Green Index (ExG), is also utilized to obtain the phenology from the field camera using visible range images. This study compares two phenological graphs. The results found a significant correlation between two phenology graphs on four observed rice fields. It should be noted that the field data was used as a validation data because it is a type of near field acquisition (high resolution, without atmospheric interference). In comparison to the field data, the results showed that the phenology obtained from MODIS was also used to analyze and estimate the different states of a rice field (e.g. seeding, heading and harvesting). Given the MODIS data in a wide area, we can monitor the status of several rice fields. It can be useful in terms of agricultural management (e.g. planning, demands, supplies and an environmental purpose, the campaign to reduce rice stubble burning). © Springer Nature Switzerland AG 2020.